ASTra/config.example.json at main · Dava96/ASTra · GitHub

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{
    "orchestration": {
        "max_self_heal_attempts": 3,
        "log_ingestion_limit_kb": 50,
        "fallback_to_cloud": true,
        "temperature": 0.0,
        "resume_tasks": true,
        "global_timeout_seconds": 600,
        "log_path": "./logs/astra.log",
        "allowed_users": [
            "YOUR_DISCORD_ID"
        ],
        "fallback_strategy": {
            "mode": "ask_user",
            "escalation_model": "gpt-4o",
            "api_key_env_var": "OPENAI_API_KEY"
        },
        "security": {
            "auto_install_packages": false,
            "require_permission_for_shell": true,
            "admin_users": [
                "YOUR_DISCORD_ID"
            ]
        },
        "test_heuristics": {
            "npm": "npm test",
            "composer": "vendor/bin/phpunit",
            "python": "pytest",
            "cargo": "cargo test"
        }
    },
    "git": {
        "auto_pr": true,
        "branch_prefix": "ai-dev-",
        "review_required": true
    },
    "ingestion": {
        "ignore_patterns": [
            "node_modules",
            "*.lock",
            "dist",
            "build",
            ".git",
            ".venv",
            "__pycache__"
        ],
        "priority_files": [
            "package.json",
            "composer.json",
            "tsconfig.json",
            "README.md",
            "Makefile"
        ],
        "max_file_size_kb": 2048,
        "ast_depth": 3
    },
    "llm": {
        "planning_model": "gpt-5",
        "coding_model": null,
        "model": "ollama_chat/qwen2.5-coder:7b",
        "host": "http://localhost:11434",
        "context_limit": 65536,
        "base_url": null
    },
    "allowed_users": [
        "YOUR_DISCORD_ID_BACKUP"
    ],
    "skills_mp": {
        "enabled": true,
        "api_key": "sk_live_your_api_key",
        "endpoint": "https://skillsmp.com/api/v1"
    },
    "vectordb": {
        "cleanup_threshold_days": 90,
        "persist_path": "./data/chromadb",
        "backup_count": 2
    },
    "knowledge_graph": {
        "enabled": true,
        "persist_path": "./data/knowledge_graph.graphml"
    },
    "progress": {
        "verbosity": "standard",
        "update_interval_percent": 10
    },
    "context": {
        "compression_enabled": false,
        "compression_model": "microsoft/llmlingua-2-bert-base-multilingual-cased-meetingbank",
        "target_token_count": 2000
    }
}